Anjuna Northstar vs Decentriq Data Clean Rooms
Anjuna Northstar
anjuna.io
Decentriq Data Clean Rooms
decentriq.comSide by side
| Figure | Anjuna Northstar | Decentriq Data Clean Rooms |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Data Clean Room Software | 7.8 (#4) | 7.7 (#5) |
| Founded | Anjuna says it was founded in 2018 to help enterprises securely innovate and scale using confidential computing. | 2019 |
| Headquarters | Palo Alto, California | Zürich, Switzerland |
| Integrations | The product page names Jupyter notebooks and AI-coding assistants as tools for iterating on data analysis models. | Its publisher page identifies Amazon S3, Azure, Google Cloud, Snowflake, and Salesforce among data onboarding connectors, and Meta Ads Manager as an audience export connector. |
| Purpose | Northstar enables multiple parties to analyze sensitive or live datasets with AI while protecting data privacy and intellectual property. | The platform lets multiple parties combine and analyze data under privacy controls without exposing raw data; participants receive approved, aggregated results. |
| Sales and support | The product page directs interested users to request a live demo or contact sales; it does not state a Northstar support plan. | The site invites prospective customers to request a personal demo, after which its team will get in touch to schedule it. |
| Security | Confidential computing protects data and code during ingestion, processing, and analysis; the page also cites remote attestation, data-in-use isolation, and access control. | Decentriq says it supports SSO and SOC 2 certification and can process datasets of hundreds of gigabytes. |
Plans
In their own words
Anjuna Northstar
Anjuna Northstar is self-hosted software for multi-party collaboration on sensitive or live datasets. It enables AI operations teams and data scientists to combine data, run models, and analyze results while protecting privacy and intellectual property. Powered by Anjuna Seaglass, it can create confidential clean rooms on demand for data-sharing work. Northstar runs on confidential computing instances across cloud providers and on premises. Its safeguards cover data and code during ingestion, processing, and analysis, with remote attestation, isolation of data in use, and access control listed. Users prepare and manipulate datasets in off-the-shelf Jupyter Notebooks. They can bring their own AI models, tools, and analysis code without modifications. The product is deployed in customer environments and does not require telemetry or runtime dependence on Anjuna-hosted services. AWS, Microsoft Azure, Google Cloud, AMD, Intel, NVIDIA, Redis, and HashiCorp are listed as site partners. Pricing is on request, with a live demo and sales contact available.
Decentriq Data Clean Rooms
Decentriq Data Clean Rooms lets organizations collaborate on data analysis while keeping raw records private to their owners. Participants receive approved, aggregated results rather than one another’s underlying data. Business users can build insights and custom audiences without code; advanced collaborations support Python, SQL, and R. Its privacy controls use encryption and confidential computing. In the no-code version, only approved aggregated insights and audience identifiers can leave the clean room. Advanced Analytics requires data-owner approval before external parties can access results, and both versions provide tamper-proof audit logs. The service offers API and SDK access, with connectors to import from Amazon S3 and Snowflake and export to Amazon S3 and Meta Ads Manager. Decentriq identifies advertisers, publishers, data partners, retailers, agencies, and healthcare organizations as intended users. It runs in the cloud and is available through web and API. Pricing is on request; the company invites prospective customers to contact it or schedule a demo.